西南石油大学学报(自然科学版) ›› 2000, Vol. 22 ›› Issue (3): 98-100.DOI: 10.3863/j.issn.1000-2634.2000.03.027

• 油气地面工程 • 上一篇    

一种基于模糊神经网络的知识获取方法

曹谢东 赵金洲 李允 黄光燕 杨垒

  

  1. (西南石油学院,四川 南充 637001)
  • 收稿日期:2000-03-22 修回日期:1900-01-01 出版日期:2000-08-20 发布日期:2000-08-20
  • 通讯作者: 曹谢东

A METHOD OF GETTING KNOWLEDGE BASED ON TH FUZZY NERVE NETWORK

Cao Xie-dong Zhao Jin-zhou Li Yun et al    

  1. (Southwest Petroleum Inst.)
  • Received:2000-03-22 Revised:1900-01-01 Online:2000-08-20 Published:2000-08-20
  • Contact: Cao Xie-dong

摘要: 从收集的数据中获取知识一直是一个难点。符号智能和计算智能是模拟人类智能认知层次模型的两个方面,其中的模糊逻辑系统与神经计算是当代人工智能的重要发展趋向,神经计算通过目标系统的响应数据进行学习,模糊模型易于理解,它们的结合将优势互补。总结了石油勘探开发信息处理多专家系统的开发中,运用模糊神经网络模型获取知识的研究和实现。

关键词: 神经网络, 人工智能, 模糊数学

Abstract: It’s difficulty to get the knowledge from the collected da-ta, sign brainpower and computing brainpower are two sides to simulate cognizing levels model of human brainpower. Corre-spondence to it, the fuzzy logic system and the neural comput-ing system are the important developing tend at present. The
neural network learns with the response data of the objective system and the fuzzy model is prone to understand. All advan-tages will be impersonated with the combination of them. This paper sums up the research and realization about the knowledge getting with this model in the multi-ES of the information
processing of the petroleum exploration and exploitation.

Key words: nerve network, artificial intelligence, fuzzy mathematics

中图分类号: